From 96305f8f2f85d652928d7984efb75acef4e02d79 Mon Sep 17 00:00:00 2001 From: Tim Redick Date: Wed, 10 Jul 2024 09:34:06 +0200 Subject: [PATCH] Update README.md --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index f35d88b..5dbf93a 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,11 @@ [![Documenter](https://github.com/rwth-irt/PoseErrors.jl/actions/workflows/documenter.yml/badge.svg)](https://github.com/rwth-irt/PoseErrors.jl/actions/workflows/documenter.yml) [![](https://img.shields.io/badge/docs-stable-blue.svg)](https://rwth-irt.github.io/PoseErrors.jl) +# About +This code has been produced during while writing my Ph.D. (Dr.-Ing.) thesis at the institut of automatic control, RWTH Aachen University. +If you find it helpful for your research please cite this: +> T. Redick, „Bayesian inference for CAD-based pose estimation on depth images for robotic manipulation“, RWTH Aachen University, 2024. doi: 10.18154/RWTH-2024-04533. + # PoseErrors.jl A good overview and rationale behind 6D pose error metrics can be found in the [BOP-challenge](https://bop.felk.cvut.cz/challenges/bop-challenge-2019/#evaluationmethodology). They prefer Maximum Symmetry-Aware Surface Distance (MSSD) over Averade Average Distance of Model Points with indistinguishable views (ADD-S = ADI), because they can yield low errors with bad visual alignment.